BASIC STATISTICS TRAINING, HYPOTHESIS TESTING, & REGRESSION
The objective of the curriculum is to provide participants with the analytical tools and methods necessary to:
Describe and summarize data effectively with descriptive statistics and graphical methods
Correctly compare groups with respect to means, variability, and proportions by testing hypotheses
Estimate key statistics and quantify uncertainty (confidence intervals)
Characterize expected variation from sample data (tolerance intervals)
Determine appropriate sample sizes to achieve adequate power for hypothesis tests
Develop, validate, and utilize predictive models
Participants gain a solid understanding of important concepts and methods to analyze data and support effective decision making. Many practical examples are presented to illustrate the application of technical concepts.
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